code: def test_big_prime_number_max(self):
      a = -Tensor.rand(367, 367)
      b = Tensor.rand(367, 367)
      # if incorrectly padded 0, the max would be 0 instead of a negative number
      c = (a * b).max(1)
      np.testing.assert_allclose(
          c.numpy(),
          (a.numpy() * b.numpy()).max(1),
          atol=1e-4,
          rtol=1e-4,
      )
  
file_path: tinygrad/extra/optimization/test_beam_search.py
imports: import unittest
  import numpy
  from tinygrad.helpers import BEAM, Timing
  from tinygrad.shape.symbolic import Variable
  from tinygrad.tensor import Tensor
  from tinygrad.nn import Conv2d
label_desc: Use image node_id 5 for calling the TestBeamSearch obj's underlying member method code with example usage: obj.test_big_prime_number_max() without return types